NVIDIA Quadro M4000
 
                                    
                                    The NVIDIA Quadro M4000 is a professional-grade GPU that offers impressive performance and reliability for a variety of professional design, animation, and engineering applications. With 8GB of GDDR5 memory, a memory clock of 1502MHz, and 1664 shading units, this GPU delivers exceptional power and efficiency for demanding tasks.
The M4000 is equipped with a 2MB L2 cache and has a TDP of 120W, making it a suitable choice for workstations with limited power capabilities. The theoretical performance of 2.573 TFLOPS ensures that this GPU can handle complex simulations, rendering, and other compute-intensive workloads with ease.
One of the standout features of the Quadro M4000 is its support for professional applications such as Autodesk AutoCAD, Adobe Creative Cloud, SolidWorks, and many others. This makes it a versatile option for professionals in various industries who require a high level of performance and compatibility with industry-standard software.
In addition to its impressive technical specifications, the M4000 also benefits from NVIDIA's extensive driver and software support, ensuring that users can take full advantage of the GPU's capabilities and receive timely updates and optimizations.
Overall, the NVIDIA Quadro M4000 is a reliable and powerful GPU that delivers excellent performance for professional applications. Its generous memory size, high memory bandwidth, and compatibility with industry-leading software make it a strong choice for professionals in need of a high-performance GPU for their workstations.
                                
                                
                                                    Basic
                            Label Name
                        
                        
                            NVIDIA
                        
                    
                                Platform
                            
                            
                                Professional
                            
                        
                                Launch Date
                            
                            
                                June 2015
                            
                        Model Name
                                                    
                            
                                Quadro M4000
                                                            
                        
                    Generation
                                                    
                            
                                Quadro
                                                            
                        
                    Bus Interface
                                                    
                            
                                PCIe 3.0 x16
                                                            
                        
                    Transistors
                                                    
                            
                                5,200 million
                                                            
                        
                    TMUs
                                                            
                                    ?
                                    
                                                    Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
                                
                            
                                104
                                                            
                        
                    Foundry
                                                    
                            
                                TSMC
                                                            
                        
                    Process Size
                                                    
                            
                                28 nm
                                                            
                        
                    Architecture
                                                    
                            
                                Maxwell 2.0
                                                            
                        
                    Memory Specifications
Memory Size
                                                    
                            
                                8GB
                                                            
                        
                    Memory Type
                                                    
                            
                                GDDR5
                                                            
                        
                    Memory Bus
                                                            
                                    ?
                                    
                                                    The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
                                
                            
                                256bit
                                                            
                        
                    Memory Clock
                                                    
                            
                                1502MHz
                                                            
                        
                    Bandwidth
                                                            
                                    ?
                                    
                                                    Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
                                
                            
                                192.3 GB/s
                                                            
                        
                    Theoretical Performance
Pixel Rate
                                                            
                                    ?
                                    
                                                    Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
                                
                            
                                49.47 GPixel/s
                                                            
                        
                    Texture Rate
                                                            
                                    ?
                                    
                                                    Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
                                
                            
                                80.39 GTexel/s
                                                            
                        
                    FP64 (double)
                                                            
                                    ?
                                    
                                                    An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
                                
                            
                                80.39 GFLOPS
                                                            
                        
                    FP32 (float)
                                                            
                                    ?
                                    
                                                    An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
                                
                            
                                2.522
                                                                    TFLOPS
                                                            
                        
                    Miscellaneous
Shading Units
                                                            
                                    ?
                                    
                                                    The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
                                
                            
                                1664
                                                            
                        
                    L1 Cache
                                                    
                            
                                48 KB (per SMM)
                                                            
                        
                    L2 Cache
                                                    
                            
                                2MB
                                                            
                        
                    TDP
                                                    
                            
                                120W
                                                            
                        
                    Vulkan Version
                                                            
                                    ?
                                    
                                                    Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
                                
                            
                                1.3
                                                            
                        
                    OpenCL Version
                                                    
                            
                                3.0
                                                            
                        
                    OpenGL
                                                    
                            
                                4.6
                                                            
                        
                    DirectX
                                                    
                            
                                12 (12_1)
                                                            
                        
                    CUDA
                                                    
                            
                                5.2
                                                            
                        
                    Power Connectors
                                                    
                            
                                1x 6-pin
                                                            
                        
                    Shader Model
                                                    
                            
                                6.4
                                                            
                        
                    ROPs
                                                            
                                    ?
                                    
                                                    The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
                                
                            
                                64
                                                            
                        
                    Suggested PSU
                                                    
                            
                                300W
                                                            
                        
                    Benchmarks
                                                FP32 (float)
                                            
                                            
                                                                                                Score
                                            
                                            
                                                2.522
                                                TFLOPS
                                            
                                            
                                                Blender
                                            
                                            
                                                                                                Score
                                            
                                            
                                                239
                                                
                                            
                                            
                                                OctaneBench
                                            
                                            
                                                                                                Score
                                            
                                            
                                                54
                                                
                                            
                                            Compared to Other GPU
                                    FP32 (float)
                                                                             / TFLOPS
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                            
                                    Blender
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                            
                                    OctaneBench
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
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